Rank
 

Model
submitted by

average

– V1 1 benchmark

– V2 1 benchmark

– V4 1 benchmark

– IT 2 benchmarks

– behavior 1 benchmark

engineering 1 benchmark

– Deng2009-top1 v1

1
voneresnet-50-robust
Tiago Marques
.431 .376 .376 .391 .391 .570 .570 .274 .549 X .545 .545
2
VOneCORnet-S
Tiago Marques
.427 .374 .374 .261 .261 .580 .580 .424 .551 .297 .497 .497
3
voneresnet-50-non_stochastic
Tiago Marques
.420 .387 .387 .326 .326 .584 .584 .272 .543 X .530 .530 .702 .702
4
voneresnet-50
Tiago Marques
.419 .375 .375 .334 .334 .582 .582 .270 .540 X .532 .532
5
CORnet-S
Brain-Score Team
.417 .294 .294 .242 .242 .581 .581 .423 .541 .305 .545 .545 .747 .747
6
vgg-19
Brain-Score Team
.408 .347 .347 .341 .341 .610 .610 .248 .496 X .494 .494 .711 .711
7
resnet-50-robust
Joel Dapello
.408 .378 .378 .365 .365 .537 .537 .243 .486 X .515 .515
8
resnet-101_v1
Brain-Score Team
.407 .266 .266 .341 .341 .590 .590 .274 .549 X .561 .561 .764 .764
9
vgg-16
Brain-Score Team
.406 .355 .355 .336 .336 .620 .620 .259 .518 X .461 .461 .715 .715
10
resnet-152_v1
Brain-Score Team
.405 .282 .282 .338 .338 .598 .598 .277 .553 X .533 .533 .768 .768
11
resnet-101_v2
Brain-Score Team
.404 .274 .274 .332 .332 .599 .599 .263 .527 X .555 .555 .774 .774
12
resnet50-SIN_IN
Brain-Score Team
.404 .282 .282 .324 .324 .599 .599 .276 .552 X .541 .541 .746 .746
13
densenet-169
Brain-Score Team
.404 .281 .281 .322 .322 .601 .601 .274 .548 X .543 .543 .759 .759
14
densenet-201
Brain-Score Team
.402 .277 .277 .325 .325 .599 .599 .273 .545 X .537 .537 .772 .772
15
resnet-50-pytorch
Joel Dapello
.399 .289 .289 .317 .317 .600 .600 .259 .518 X .528 .528 .752 .752
16
resnet-50_v1
Brain-Score Team
.398 .274 .274 .317 .317 .594 .594 .278 .555 X .526 .526 .752 .752
17
resnet50-SIN_IN_IN
Brain-Score Team
.397 .275 .275 .321 .321 .596 .596 .273 .545 X .523 .523 .767 .767
18
resnet-152_v2
Brain-Score Team
.397 .274 .274 .326 .326 .591 .591 .266 .532 X .528 .528 .778 .778
19
resnet-50_v2
Brain-Score Team
.396 .270 .270 .323 .323 .596 .596 .260 .520 X .531 .531 .756 .756
20
densenet-121
Brain-Score Team
.396 .277 .277 .306 .306 .595 .595 .267 .533 X .535 .535 .745 .745
21
resnext101_32x32d_wsl
Martin Schrimpf
.396 .267 .267 .289 .289 .574 .574 .254 .507 X .594 .594 .854 .854
22
mobilenet_v1_1.0_160
Brain-Score Team
.393 .290 .290 .332 .332 .588 .588 .275 .549 X .480 .480 .680 .680
23
resnext101_32x8d_wsl
Martin Schrimpf
.392 .271 .271 .312 .312 .586 .586 .241 .481 X .551 .551 .842 .842
24
inception_v2
Brain-Score Team
.392 .284 .284 .313 .313 .587 .587 .270 .539 X .505 .505 .739 .739
25
BiT-M-R101x3
Violet Xiang
.391 .279 .279 .323 .323 .584 .584 .261 .521 X .509 .509
26
dorinet_cornet_z
 
.390 .310 .310 .311 .311 .582 .582 .468 .468 .279 .279
27
resnet-18
Brain-Score Team
.390 .274 .274 .302 .302 .583 .583 .266 .531 X .524 .524 .698 .698
28
mobilenet_v2_1.0_224
Brain-Score Team
.389 .245 .245 .331 .331 .573 .573 .273 .546 X .521 .521 .718 .718
29
mobilenet_v2_0.75_224
Brain-Score Team
.388 .236 .236 .316 .316 .586 .586 .268 .535 X .533 .533 .698 .698
30
efficientnet-b0
Joel Dapello
.387 .215 .215 .317 .317 .556 .556 .274 .547 X .573 .573
31
fixres_resnext101_32x48d_wsl
Martin Schrimpf
.387 .246 .246 .288 .288 .582 .582 .257 .513 X .561 .561 .863 .863
31
resnext101_32x48d_wsl
Martin Schrimpf
.387 .246 .246 .288 .288 .582 .582 .257 .513 X .561 .561 .822 .822
33
mobilenet_v2_1.3_224
Brain-Score Team
.386 .253 .253 .332 .332 .575 .575 .271 .543 X .500 .500 .744 .744
34
BiT-M-R50x1
Violet Xiang
.386 .274 .274 .312 .312 .574 .574 .272 .543 X .499 .499
35
resnet50-SIN
Brain-Score Team
.386 .300 .300 .333 .333 .580 .580 .267 .534 X .448 .448 .602 .602
36
pnasnet_large
Brain-Score Team
.385 .264 .264 .305 .305 .578 .578 .263 .526 X .515 .515 .829 .829
37
AT_efficientnet-b7
Joel Dapello
.385 .276 .276 .308 .308 .583 .583 .281 .562 X .475 .475
38
mobilenet_v2_0.75_192
Brain-Score Team
.384 .245 .245 .306 .306 .573 .573 .275 .550 X .524 .524 .687 .687
39
mobilenet_v2_1.4_224
Brain-Score Team
.384 .257 .257 .321 .321 .566 .566 .277 .554 X .500 .500 .750 .750
40
inception_v1
Brain-Score Team
.384 .259 .259 .311 .311 .589 .589 .244 .488 X .518 .518 .698 .698
41
xception
Brain-Score Team
.384 .245 .245 .306 .306 .610 .610 .249 .498 X .508 .508 .790 .790
42
AT_efficientnet-b4
Joel Dapello
.383 .246 .246 .339 .339 .549 .549 .279 .559 X .503 .503
43
mobilenet_v2_0.75_160
Brain-Score Team
.383 .278 .278 .316 .316 .573 .573 .273 .547 X .473 .473 .664 .664
44
inception_v4
Brain-Score Team
.382 .238 .238 .299 .299 .574 .574 .263 .526 X .537 .537 .802 .802
45
resnext101_32x16d_wsl
Martin Schrimpf
.382 .263 .263 .302 .302 .587 .587 .250 .499 X .509 .509 .851 .851
46
inception_resnet_v2
Brain-Score Team
.381 .233 .233 .319 .319 .583 .583 .272 .543 X .499 .499 .804 .804
47
efficientnet-b6
Joel Dapello
.381 .263 .263 .295 .295 .563 .563 .271 .541 X .513 .513
48
BiT-M-R152x4
Violet Xiang
.380 .290 .290 .324 .324 .555 .555 .254 .508 X .477 .477
49
efficientnet-b2
Joel Dapello
.380 .213 .213 .317 .317 .569 .569 .273 .547 X .526 .526
50
nasnet_large
Brain-Score Team
.380 .282 .282 .291 .291 .585 .585 .270 .541 X .470 .470 .827 .827
51
mobilenet_v1_1.0_224
Brain-Score Team
.380 .223 .223 .341 .341 .560 .560 .273 .546 X .502 .502 .709 .709
52
BiT-S-R101x3
Violet Xiang
.380 .296 .296 .306 .306 .581 .581 .252 .505 X .462 .462
53
efficientnet-b4
Joel Dapello
.379 .228 .228 .286 .286 .575 .575 .272 .543 X .535 .535
54
BiT-M-R152x2
Violet Xiang
.379 .277 .277 .320 .320 .569 .569 .257 .515 X .472 .472
55
inception_v3
Brain-Score Team
.379 .241 .241 .307 .307 .596 .596 .273 .545 X .477 .477 .780 .780
56
BiT-M-R50x3
Violet Xiang
.378 .253 .253 .289 .289 .548 .548 .277 .554 X .523 .523
57
mobilenet_v2_1.0_192
Brain-Score Team
.377 .216 .216 .322 .322 .572 .572 .273 .547 X .503 .503 .707 .707
58
mobilenet_v2_1.0_160
Brain-Score Team
.376 .239 .239 .322 .322 .570 .570 .275 .550 X .472 .472 .688 .688
59
mobilenet_v2_0.5_192
Brain-Score Team
.375 .263 .263 .329 .329 .566 .566 .264 .529 X .454 .454 .639 .639
60
BiT-S-R50x3
Violet Xiang
.373 .283 .283 .301 .301 .569 .569 .267 .534 X .444 .444
61
mobilenet_v2_0.5_224
Brain-Score Team
.372 .229 .229 .308 .308 .569 .569 .266 .533 X .488 .488 .654 .654
62
mobilenet_v1_0.75_224
Brain-Score Team
.372 .223 .223 .336 .336 .558 .558 .267 .535 X .477 .477 .684 .684
63
AT_efficientnet-b2
Joel Dapello
.372 .248 .248 .295 .295 .563 .563 .275 .550 X .480 .480
64
resnet-34
Brain-Score Team
.372 .230 .230 .286 .286 .560 .560 .237 .474 X .546 .546 .733 .733
65
AT_efficientnet-b0
Joel Dapello
.371 .238 .238 .334 .334 .570 .570 .267 .534 X .447 .447
66
BiT-S-R152x2
Violet Xiang
.371 .289 .289 .309 .309 .574 .574 .235 .469 X .446 .446
67
BiT-S-R101x1
Violet Xiang
.370 .273 .273 .308 .308 .572 .572 .250 .499 X .449 .449
68
mobilenet_v1_0.5_224
Brain-Score Team
.370 .221 .221 .340 .340 .555 .555 .260 .521 X .474 .474 .633 .633
69
mobilenet_v1_1.0_192
Brain-Score Team
.370 .235 .235 .329 .329 .548 .548 .271 .543 X .466 .466 .700 .700
70
mobilenet_v2_0.75_128
Brain-Score Team
.369 .237 .237 .320 .320 .553 .553 .271 .541 X .464 .464 .632 .632
71
cornetz_contrastive
 
.369 .325 .325 .353 .353 .551 .551 .268 .535 X .346 .346
72
alexnet
Mike Ferguson
.368 .316 .316 .353 .353 .550 .550 .254 .508 X .370 .370 .577 .577
73
mobilenet_v1_1.0_128
Brain-Score Team
.368 .254 .254 .325 .325 .557 .557 .267 .535 X .437 .437 .652 .652
74
mobilenet_v1_0.75_128
Brain-Score Team
.368 .267 .267 .330 .330 .564 .564 .252 .505 X .425 .425 .621 .621
75
mobilenet_v2_0.5_160
Brain-Score Team
.368 .258 .258 .305 .305 .562 .562 .264 .528 X .448 .448 .610 .610
76
mobilenet_v2_1.0_128
Brain-Score Team
.368 .252 .252 .303 .303 .569 .569 .267 .534 X .447 .447 .653 .653
77
mobilenet_v1_0.5_192
Brain-Score Team
.367 .220 .220 .337 .337 .566 .566 .260 .520 X .454 .454 .617 .617
78
mobilenet_v1_0.75_192
Brain-Score Team
.367 .229 .229 .339 .339 .549 .549 .267 .535 X .449 .449 .672 .672
79
mobilenet_v2_0.35_192
Brain-Score Team
.366 .264 .264 .301 .301 .568 .568 .259 .518 X .437 .437 .582 .582
80
BiT-S-R152x4
Violet Xiang
.364 .271 .271 .267 .267 .548 .548 .258 .515 X .478 .478
81
mobilenet_v2_1.0_96
Brain-Score Team
.363 .256 .256 .332 .332 .530 .530 .257 .514 X .443 .443 .603 .603
82
BiT-M-R101x1
Violet Xiang
.362 .255 .255 .295 .295 .574 .574 .250 .499 X .433 .433
83
resnet18-supervised
Chengxu Zhuang
.361 .276 .276 .281 .281 .539 .539 .263 .526 X .446 .446
84
mobilenet_v1_0.5_160
Brain-Score Team
.361 .265 .265 .320 .320 .557 .557 .252 .503 X .410 .410 .591 .591
85
mobilenet_v2_0.35_160
Brain-Score Team
.359 .269 .269 .292 .292 .554 .554 .259 .517 X .424 .424 .557 .557
86
mobilenet_v1_0.75_160
Brain-Score Team
.359 .213 .213 .346 .346 .558 .558 .264 .529 X .413 .413 .653 .653
87
mobilenet_v2_0.35_224
Brain-Score Team
.359 .215 .215 .296 .296 .554 .554 .253 .506 X .474 .474 .603 .603
88
mobilenet_v2_0.5_128
Brain-Score Team
.358 .222 .222 .309 .309 .557 .557 .262 .525 X .440 .440 .577 .577
89
nasnet_mobile
Brain-Score Team
.357 .272 .272 .273 .273 .566 .566 .268 .536 X .406 .406 .740 .740
90
BiT-S-R50x1
Violet Xiang
.353 .225 .225 .285 .285 .555 .555 .266 .533 X .435 .435
91
mobilenet_v2_0.75_96
Brain-Score Team
.350 .208 .208 .305 .305 .527 .527 .258 .516 X .451 .451 .588 .588
92
squeezenet1_0
Brain-Score Team
.341 .304 .304 .320 .320 .591 .591 .229 .459 X .263 .263 .575 .575
93
mobilenet_v1_0.5_128
Brain-Score Team
.341 .245 .245 .304 .304 .550 .550 .234 .467 X .373 .373 .563 .563
94
barlow-twins-resnet50
Eric Elmoznino
.341 .279 .279 .284 .284 .579 .579 .286 .572 X .276 .276 .001 .001
95
ViT-B/32
Violet Xiang
.341 .282 .282 .339 .339 .549 .549 .251 .502 X .284 .284
96
squeezenet1_1
Brain-Score Team
.336 .265 .265 .311 .311 .582 .582 .229 .457 X .291 .291 .575 .575
97
mobilenet_v2_0.35_128
Brain-Score Team
.333 .245 .245 .289 .289 .530 .530 .235 .470 X .367 .367 .508 .508
98
mobilenet_v2_0.5_96
Brain-Score Team
.331 .266 .266 .278 .278 .501 .501 .239 .479 X .370 .370 .512 .512
99
RN50
Violet Xiang
.330 .273 .273 .315 .315 .588 .588 .252 .504 X .220 .220
100
ViT_L_32_imagenet1k
Paul Mc Grath
.328 .265 .265 .291 .291 .531 .531 .227 .454 X .324 .324
101
mobilenet_v1_0.25_224
Brain-Score Team
.327 .231 .231 .296 .296 .538 .538 .240 .480 X .333 .333 .498 .498
102
deit_base_patch16_384_id
Violet Xiang
.324 .209 .209 .248 .248 .515 .515 .225 .450 X .425 .425
103
ViT_L_32
Paul Mc Grath
.324 .305 .305 .301 .301 .511 .511 .219 .439 X .286 .286
104
mobilenet_v1_0.25_192
Brain-Score Team
.323 .208 .208 .318 .318 .517 .517 .226 .451 X .344 .344 .477 .477
105
CORnet-Z
Brain-Score Team
.322 .298 .298 .182 .182 .553 .553 .223 .447 X .356 .356 .470 .470
106
resnet18-simclr
Chengxu Zhuang
.321 .243 .243 .318 .318 .550 .550 .262 .524 X .231 .231
107
ViT_B_32_imagenet1k
Paul Mc Grath
.317 .271 .271 .285 .285 .536 .536 .219 .437 X .276 .276
108
resnet18-local_aggregation
Chengxu Zhuang
.314 .253 .253 .308 .308 .563 .563 .268 .536 X .177 .177
109
ViT_B_32
Paul Mc Grath
.313 .308 .308 .275 .275 .504 .504 .208 .417 X .270 .270
110
mobilenet_v1_0.25_160
Brain-Score Team
.312 .198 .198 .293 .293 .509 .509 .229 .457 X .330 .330 .455 .455
111
ViT_L_16_imagenet1k
Paul Mc Grath
.311 .215 .215 .269 .269 .494 .494 .244 .487 X .333 .333
112
bagnet9
Martin Schrimpf
.307 .215 .215 .260 .260 .550 .550 .200 .401 X .307 .307 .260 .260
113
deit_base_patch16_224_id
Violet Xiang
.306 .206 .206 .279 .279 .489 .489 .179 .357 X .376 .376
114
ViT_B_16_imagenet1k
Paul Mc Grath
.304 .234 .234 .261 .261 .485 .485 .204 .408 X .335 .335
115
mobilenet_v2_0.35_96
Brain-Score Team
.303 .183 .183 .249 .249 .501 .501 .230 .460 X .351 .351 .455 .455
116
mobilenet_v1_0.25_128
Brain-Score Team
.302 .262 .262 .238 .238 .513 .513 .213 .425 X .286 .286 .415 .415
117
ViT_B_16
Paul Mc Grath
.302 .242 .242 .260 .260 .498 .498 .190 .380 X .320 .320
118
vggface
Martin Schrimpf
.301 .358 .358 .339 .339 .555 .555 .176 .351 X .078 .078
119
resnet18-contrastive_multiview
Chengxu Zhuang
.293 .258 .258 .265 .265 .551 .551 .231 .461 X .161 .161
120
resnet18-instance_recognition
Chengxu Zhuang
.292 .267 .267 .294 .294 .548 .548 .261 .522 X .090 .090
121
deit_base_distilled_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_base_distilled_patch16_224_id
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_base_distilled_patch16_384
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_base_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_base_patch16_384
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_small_distilled_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_small_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_tiny_distilled_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
121
deit_tiny_patch16_224
Violet Xiang
.288 .206 .206 .238 .238 .514 .514 .228 .455 X .256 .256
130
deit_small_distilled_patch16_224_id
Violet Xiang
.286 .173 .173 .242 .242 .511 .511 .221 .442 X .283 .283
131
deit_base_distilled_patch16_384_id
Violet Xiang
.285 .183 .183 .278 .278 .486 .486 .235 .471 X .243 .243
132
deit_small_patch16_224_id
Violet Xiang
.278 .193 .193 .255 .255 .514 .514 .202 .403 X .226 .226
133
resnet18-colorization
Chengxu Zhuang
.273 .269 .269 .265 .265 .568 .568 .205 .410 X .060 .060
134
resnet18-deepcluster
Chengxu Zhuang
.272 .258 .258 .306 .306 .545 .545 .253 .506 X .000 X
135
deit_tiny_distilled_patch16_224_id
Violet Xiang
.270 .184 .184 .247 .247 .504 .504 .207 .414 X .209 .209
136
deit_tiny_patch16_224_id
Violet Xiang
.265 .182 .182 .251 .251 .481 .481 .202 .404 X .211 .211
137
resnet18-relative_position
Chengxu Zhuang
.262 .278 .278 .302 .302 .544